A Practical AI Council Workflow for Software Architecture and Delivery
One AI Assistant Is Useful, But Not Always Enough
If you've used an AI coding assistant for anything beyond autocomplete, you've probably noticed a pattern: single-model workflows converge fast. Sometimes too fast.
You describe a problem. The model proposes a solution. The solution looks reasonable. You implement it. Then three days later, during review or integration, you discover the architecture didn't account for a boundary condition, a simpler alternative existed, or the design coupled two things that should have stayed separate.
This isn't a failure of the model. It's a failure of the process. A single model — no matter how capable — can commit early and refine within its own frame. It may not challenge its own assumptions the way a second engineer would.
